Spatial technologies for identifying critical areas of TB-HIV coinfection: Application of Getis-Ord Gi*

Abstract

This work aims to evaluate the spatial pattern and identify municipalities with greater vulnerability to the occurrence of tuberculosis and human immunodeficiency virus coinfection in the state of Mato Grosso, Brazil. This is an ecological study of reported cases of coinfection from 2012 to 2021 in the state. The data were collected by the Notifiable Diseases Information System, subsequently carrying out a descriptive analysis of the sociodemographic and clinical data, and the spatial distribution of the incidence obtained for Getis-Ord Gi* analysis. 1,407 cases of coinfection were reported, the majority of which were men, mixed race, aged between 20 and 39 years old, and with low education. The spatial analysis identified municipalities 1 Universidade Federal de Mato Grosso (UFMT) – Barra do Garças (MT), Brasil. josilene.alves@ufmt.br 2 Universidade Estadual do Norte do Paraná (Uenp) – Jacarezinho (PR), Brasil. 3 Instituto Federal de Mato Grosso (IFMT) – Barra do Garças (MT), Brasil. with a higher association with the occurrence of the disease and its indicators, such as Cuiabá, which had an incidence of 10.93 cases per 100,000 inhabitants. The presence of hot spots indicating emerging territories for coinfection was identified, with reliability testing between 90% and 99%. The findings in this work can serve as an alert to identify the most vulnerable populations and areas at risk, in addition to supporting the implementation of public policies aimed at strategies for controlling coinfection in the state of Mato Grosso.